Editorial on the Research Topic
High-throughput sequencing-based investigation of chronic disease markers and mechanismsThis "High-throughput sequencing-based investigation of chronic disease markers and mechanisms" issue focuses on the genomics studies on cancer and chronic diseases. With the recent development of sequencing technology and the rapid reduction of sequencing costs, high-throughput sequencing (including second and third-generation sequencing) is revolutionizing basic life science research and clinical research. High-throughput sequencing often produces millions of sequencing reads at a time, and the alignment or assembly of these reads allows determination of various mutations at the genomic level, accurate gene expression quantification at the transcriptomic level, and identification of histone or DNA modification at the epigenomic level. The resulting accumulation of enormous multi-omics information has opened up a new era of finding effective disease markers and studying their roles in disease occurrence and development (Anashkina et al., 2021).Using high-throughput sequencing, various markers of chronic diseases have been developed at all omics levels, which have been used for diagnosis and classification of diseases, prediction of treatment effects, and prevention of diseases (Voronova et al., 2020;Glukhov et al., 2021). The chronic diseases include cancer, heart disease, diabetes, arthritis. The quickly and massively acquired multi-omics data, together with newly developed algorithms, provide excellent opportunities for the identification of more reliable biomarkers. This Research Topic aimed at 1) developing new chronic disease markers at four levels (i.e., genome, epigenome, transcriptome, and translatome) with the help of highthroughput sequencing, and 2) delineating potential marker-related mechanisms for chronic disease occurrence or development. More specifically, this Research Topic contains contributions including: 1) Identification of novel biomarkers and prediction signatures for chronic disease detection or prognosis prediction using high-throughput sequencing; 2) Analysis the possible pathological causes of markers as well as the potential roles they play in disease initiation and development; 3) Applications of new high-throughput sequencing techniques facilitating the development of more effective biomarkers of chronic disease;